Attached and below is information about a postdoctoral research position
³Air Quality Modeler with Satellite Expertise² located in Seattle,
Washington. Please let me know if you have any questions, thank you!
Susan

Susan M. O¹Neill, Ph.D.
Air Quality Scientist
USDA Forest Service, PNW Research Station
400 N 34th St, Suite 201
Seattle, WA 98103
smoneill at fs.fed.us
206-732-7851 (wk)
Title: Postdoctoral Research Associate, Air Quality Modeler with Satellite
Expertise, Full Time, 100% FTE
?Location: Seattle,WA
Duration: Initial appointment is for one year and renewable up to three
years depending on performance.
Salary: Commensurate with experience
We are seeking a postdoctoral research scientist with expertise in air
quality models and satellite data to support innovative research improving
smoke forecasting tools that support wildfire incidents throughout the
United States. The successful applicant will be expected to do atmospheric
and air quality modeling and to develop systems and analyses using satellite
data to improve model performance in modeling smoke from wildland fires. The
position is with the University of Washington (UW) School of Environmental
and Forest Sciences and supports research done collaboratively with the US
Forest Service (USFS).
Wildland fires emit a wide variety of trace gases and aerosol into the
atmosphere which continue to undergo many chemical and physical
transformations as well as interacting with atmospheric processes. The
Postdoc will lead an effort applying satellite information to improve the
simulation of wildland fire smoke in atmospheric and air quality (AQ) models
such as the Community multi-scale air quality (CMAQ) modeling system, or
Weather Research Forecasting (WRF)-Chem model, or WRF-SFire model on scales
ranging from sub-kilometer to 12-km (regional to continental) scales. These
models are being developed for use in a suite of air quality tools being
used by fire incident command to support decisions on the fire as well as
discussions with air regulatory and public health officials in the areas
affected by smoke including influencing public health notifications. The
postdoc will work on improving these air quality modeling systems and use
satellite information (e.g. AOD, FRP, etc., from platforms such as GOES,
VIIRS, and MODIS) to improve model initialization and model evaluation, as
well as to develop fundamental scientific improvements to various model
components.
?The work will be conducted as part of multidisciplinary team, integrating
data from many sources and disciplines such as fire ecology, atmospheric
chemistry, fire weather, fire behavior and combustion, and field campaigns
of land and airborne measurements. The basic existing modeling system is the
BlueSky smoke modeling framework, which links together fire activity, mapped
fuel loadings, fuel consumption and emission models, and algorithms for fire
spread and vertical allocation emissions into dispersion and atmospheric
chemistry models to produce smoke forecasts. BlueSky is applied to a variety
of scales and regions to support wildfire incident command teams. The goal
with this position is to use satellite information to improve the
fundamental science and delivery of these forecast products ­ implementing
them operationally, evaluating the system, doing case study analysis and
improving individual components of the system such as plume rise, time
allocation of emissions, or model initialization or nudging. The successful
candidate will be adept at installing and setting up air quality modeling
systems such as WRF-CHEM and CMAQ in a LINUX environment, processing
emission inventory data, and analyzing large atmospheric and air quality
datasets. This position also provides the opportunity to work with a wide
user community involved in smoke and fire, nationally and internationally.
The position will provide an outstanding opportunity to apply a variety of
field and analytical skills to perform original and applied research,
present the results at scientific meetings and trainings, and publish
first-author papers in peer-reviewed journals. The appointment is for one
year renewable up to three years conditional upon performance. The stipend
is negotiable depending upon experience and includes benefits. The position
is located at the Pacific Wildland Fire Sciences Laboratory in Seattle,
Washington, USA.
Qualifications
?? Ph.D. in atmospheric science, geography, engineering, or similar field
 Experience installing and running atmospheric and air quality models such
as CMAQ, WRF-Chem, WRF-SFire, and perhaps GEOS-Chem
 Experience working with satellite datasets such as AOD, FRP, CO, NOX, and
O3 from platforms and instruments such as AQUA, TERRA, VIIRS, GOES, CALIPSO,
CATS, MODIS, TES, MISR and MOPITT
 Experience processing emission inventory data for air quality models
 Experience evaluating atmospheric and air quality modeling systems
 Experience with manipulating and analyzing large spatial datasets
 High-level R and/or Python programming skills
 Comfort in working in UNIX/LINUX environment
 Data and workflow management skills
 Strong writing and presentation skills, including a track record of
peer-reviewed publications and scientific conference presentations
 Ability to work in a collaborative environment across many disciplines
Application Instructions:
For information about the position, contact Dr. Susan O¹Neill,
smoneill at fs.fed.us, susan.m.oneill at gmail.com, 206-732-7851
Interested individuals should send a CV, brief statement of qualifications,
and contact information for 3 references to:
Dr. Ernesto Alvarado
School of Environmental and Forest Sciences University of Washington
Box 352100
Seattle, WA 98195
Email: alvarado at uw.edu
Phone: 206-616-6920
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The incumbent will have opportunities for professional development through
the University of Washington Office of Postdoctoral Affairs
(https://grad.uw.edu/for-students- and-post-docs/post-doctoral-affairs/).
The University of Washington is an affirmative action and equal opportunity
employer. All qualified applicants will receive consideration for employment
without regard to, among other things, race, religion, color, national
origin, sex, age, status as protected veterans, or status as qualified
individuals with disabilities. University of Washington faculty engage in
teaching, research, and service.
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